Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians

Abstract While 24-h total sleep time (TST) is established as a critical driver of major depression, the relationships between sleep timing and regularity and mental health remain poorly characterized because most studies have relied on either self-report assessments or traditional objective sleep me...

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Autores principales:	Yu Fang, Daniel B. Forger, Elena Frank, Srijan Sen, Cathy Goldstein
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/fe521c3e0ca747da8672a7fac84a79b3
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spelling	oai:doaj.org-article:fe521c3e0ca747da8672a7fac84a79b32021-12-02T14:21:51ZDay-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians10.1038/s41746-021-00400-z2398-6352https://doaj.org/article/fe521c3e0ca747da8672a7fac84a79b32021-02-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00400-zhttps://doaj.org/toc/2398-6352Abstract While 24-h total sleep time (TST) is established as a critical driver of major depression, the relationships between sleep timing and regularity and mental health remain poorly characterized because most studies have relied on either self-report assessments or traditional objective sleep measurements restricted to cross-sectional time frames and small cohorts. To address this gap, we assessed sleep with a wearable device, daily mood with a smartphone application and depression through the 9-item Patient Health Questionnaire (PHQ-9) over the demanding first year of physician training (internship). In 2115 interns, reduced TST (b = −0.11, p < 0.001), later bedtime (b = 0.068, p = 0.015), along with increased variability in TST (b = 0.4, p = 0.0012) and in wake time (b = 0.081, p = 0.005) were associated with more depressive symptoms. Overall, the aggregated impact of sleep variability parameters and of mean sleep parameters on PHQ-9 were similar in magnitude (both r 2 = 0.01). Within individuals, increased TST (b = 0.06, p < 0.001), later wake time (b = 0.09, p < 0.001), earlier bedtime (b = − 0.07, p < 0.001), as well as lower day-to-day shifts in TST (b = −0.011, p < 0.001) and in wake time (b = −0.004, p < 0.001) were associated with improved next-day mood. Variability in sleep parameters substantially impacted mood and depression, similar in magnitude to the mean levels of sleep parameters. Interventions that target sleep consistency, along with sleep duration, hold promise to improve mental health.Yu FangDaniel B. ForgerElena FrankSrijan SenCathy GoldsteinNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Yu Fang Daniel B. Forger Elena Frank Srijan Sen Cathy Goldstein Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
description	Abstract While 24-h total sleep time (TST) is established as a critical driver of major depression, the relationships between sleep timing and regularity and mental health remain poorly characterized because most studies have relied on either self-report assessments or traditional objective sleep measurements restricted to cross-sectional time frames and small cohorts. To address this gap, we assessed sleep with a wearable device, daily mood with a smartphone application and depression through the 9-item Patient Health Questionnaire (PHQ-9) over the demanding first year of physician training (internship). In 2115 interns, reduced TST (b = −0.11, p < 0.001), later bedtime (b = 0.068, p = 0.015), along with increased variability in TST (b = 0.4, p = 0.0012) and in wake time (b = 0.081, p = 0.005) were associated with more depressive symptoms. Overall, the aggregated impact of sleep variability parameters and of mean sleep parameters on PHQ-9 were similar in magnitude (both r 2 = 0.01). Within individuals, increased TST (b = 0.06, p < 0.001), later wake time (b = 0.09, p < 0.001), earlier bedtime (b = − 0.07, p < 0.001), as well as lower day-to-day shifts in TST (b = −0.011, p < 0.001) and in wake time (b = −0.004, p < 0.001) were associated with improved next-day mood. Variability in sleep parameters substantially impacted mood and depression, similar in magnitude to the mean levels of sleep parameters. Interventions that target sleep consistency, along with sleep duration, hold promise to improve mental health.
format	article
author	Yu Fang Daniel B. Forger Elena Frank Srijan Sen Cathy Goldstein
author_facet	Yu Fang Daniel B. Forger Elena Frank Srijan Sen Cathy Goldstein
author_sort	Yu Fang
title	Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
title_short	Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
title_full	Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
title_fullStr	Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
title_full_unstemmed	Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
title_sort	day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fe521c3e0ca747da8672a7fac84a79b3
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Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians

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